Advances in Artificial Intelligence

Name: Advances in Artificial Intelligence | 16th Conference of the Spanish Association for Arti?cial Intelligence, CAEPIA 2015 Albacete, Spain, November 9-12, 2015 Proceedings
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16th Conference of the Spanish Association for Arti?cial Intelligence, CAEPIA 2015 Albacete, Spain, November 9-12, 2015 Proceedings

José M. Puerta José A. Gámez Bernabe Dorronsoro Edurne Barrenechea Alicia Troncoso Bruno Baruque Mikel Galar(Herausgeber*in)

Springer (Verlag)

Erschienen am 13. November 2015

XIV, 358 Seiten

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978-3-319-24598-0 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Bayesian Networks and Uncertainty Modeling
A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions
1 Introduction
2 Learning from Positive and Unlabeled Proportions
3 A SEM Method for Learning Bayesian Network Classifiers from Positive and Unlabeled Proportions
3.1 A Probabilistic Completion for the Training Examples
4 Experiments
5 Conclusions
References
Parallelisation of the PC Algorithm
1 Introduction
2 Preliminaries and Notation
2.1 Bayesian Networks
2.2 PC Algorithm
2.3 Balanced Incomplete Block Designs
3 Parallelisation of PC Structure Learning
3.1 Test for Marginal Independence
3.2 Extra Heuristics
3.3 Higher Order Testing
4 Empirical Evaluation
5 Discussion
References
Regularized Multivariate von Mises Distribution
1 Introduction
2 The Multivariate von Mises Distribution
2.1 Pseudo-Likelihood
2.2 Optimization
2.3 Regularization
3 Evaluation
4 Multivariate von Mises vs. Multivariate Gaussian
5 Validation on Morphological Data from Human Neurons
6 Conclusion and Future Work
References
Parallel Importance Sampling in Conditional Linear Gaussian Networks
1 Introduction
2 Preliminaries
2.1 Conditional Linear Gaussian Networks
3 Approximate Inference in CLG Networks
3.1 Variational Inference
3.2 Importance Sampling
4 Experimental Evaluation
5 Conclusion
References
Fuzzy Logic and Soft Computing
Glaucoma Diagnosis: A Soft Set Based Decision Making Procedure
1 Introduction
1.1 Glaucoma Diagnosis
1.2 Contribution and Organization of the Paper
2 Definition of Fuzzy Set and Soft Set
3 The Problem: Antecedents and a New Proposal
3.1 Antecedents
3.2 Proposal of a New Soft Expert System for Glaucoma Diagnosis
3.3 Testing the Performance of the Algorithm
4 Final Comments and Conclusion
References
Retinal Vessel Detection Based on Fuzzy Morphological Line Enhancement
1 Introduction
2 Automatic Segmentation
2.1 Nature of Images
2.2 Description of the Algorithm
3 Experimental Results
3.1 Methodology
3.2 Comparison with Other Methods
4 Conclusions and Future Work
References
A Linguistic Approach for Self-Perceived Health State: A Real Study for Diabetes Disease
1 Introduction
2 Linguistic Background
2.1 Fuzzy Linguistic Approach
2.2 Managing Multi-granular Linguistic Information
3 A Linguistic Proposal to Model the Health Information Provided by Diabetes Patients
3.1 The Framework
3.2 The Method
3.3 Computing Process
4 A Real Study for Diabetes Disease
5 Concluding Remarks
References
Applying Neuroevolution to Estimate the Difficulty of Learning Activities
1 Introduction
2 Background
2.1 PLMan: An AI Programming Game
2.2 Neuroevolution
3 Measuring Difficulty
4 Proposed Method
4.1 ANN Architectural Setup
4.2 Similarity Measures
5 Experimental Setup and Results
6 Conclusions and Further Work
References
Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency
Abstract
1 Introduction
2 Classification Methods
2.1 Logistic Regression with Product-Unit Covariates
2.2 The Estimation of Coefficients
3 Technical Efficiency: The DEA Model
4 Experimental Design: Selection and Justification of the Variable and Decisional Framework
5 Results
6 Conclusions
Acknowledgements
References
Knowledge Representation, Reasoning and Logic
On Coarser Interval Temporal Logics and their Satisfiability Problem
1 Introduction
2 Preliminaries
3 Decidability and Hardness Results for HS3
4 Undecidability Results for HS7
5 Conclusions
References
Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis
1 Introduction
2 Characterizing PCs in the BG Modelling Framework
2.1 Running Example
2.2 Hybrid Bond-Graphs for Hybrid Systems Modelling
2.3 Possible Conflicts from BG Models
3 Characterizing HBG-PCs
3.1 Computing HBG-PCs
4 Case Study
5 Conclusions
References
Clinical Decision Support System for the Diagnosis and Treatment of Fuzzy Diseases
1 Introduction
2 Background
3 Design of a CDSS for Fuzzy Diseases
4 System Evaluation
4.1 Evaluation Workflow
4.2 A Complex Clinical Case
4.3 Summary of Cases Evaluated
5 Conclusions and Future Work
References
Public and Secret Forgetting of Propositional Formulas
1 Introduction
2 Basic Definitions
3 Public Forgetting
4 The Effect of Publicly Forgetting Whether
5 Secret Forgetting
6 Conclusions and Future Work
References
Intelligent Systems and Environment
Estimation of Species Richness Using Bayesian Networks
1 Introduction
2 Methodology
2.1 Study Area and Data Description
2.2 Probabilistic Graphical Models: Bayesian Networks
2.3 Probabilistic Reasoning
2.4 Validation of the Model
3 Results and Discussion
4 Conclusions
References
Automatic Generation of Air Quality Index Textual Forecasts Using a Data-To-Text Approach
1 Introduction
2 Service Description
2.1 Input Air Quality State Forecast Data Characterization
2.2 Content Determination Stage
2.3 Linguistic Realization Stage
3 Results and Evaluation
3.1 Examples
3.2 Quality Assessment Evaluation
4 Conclusions
References
Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling
1 Introduction
2 Omnigram Explorer
2.1 OE Interaction Modes
3 Using OE to Understand Andalusian Reservoirs
3.1 The Problem
3.2 Data Description
3.3 OE Data Exploration Prior to Modeling
3.4 BN Learning
4 Conclusion
References
Intelligent Web and Recommender Systems
Learning Parliamentary Profiles for Recommendation Tasks
1 Introduction
2 Building and Using Profiles
2.1 Exploitation of the Profiles
2.2 Collecting User Information
2.3 Representation
2.4 Construction
3 Evaluation
3.1 Evaluation Framework
3.2 Results
4 Conclusions
References
An Analysis of the Quality Issues of the Properties Available in the Spanish DBpedia
1 Introduction
2 Extraction of Property Statistics
3 Analysis of Quality Dimensions
3.1 Conciseness
3.2 Consistency
3.3 Syntactic Validity
3.4 Semantic Accuracy
4 Related Work
5 Conclusions and Future Work
References
Machine Learning and Data Mining
Measuring Data Imperfection in a Neighborhood Based Method
1 Introduction
2 K-Nearest Neighbors Method from Low Quality Data
2.1 Introduction
2.2 Contribution from Neighbors for the Imputation/Classification
2.3 Controlling the kNNLQD Method
2.4 The Process of the kNNLQD Method
3 Experimental Results
3.1 Fuzzy Distance Measure
3.2 Fuzzy Entropy Function
3.3 Classification Accuracy
3.4 Synthetic Datasets with Low Quality Data
3.5 Real-World Dataset with Low Quality Data
4 Conclusions
References
An Ensemble-Based Classification Approach to Model Human-Machine Dialogs
1 Introduction
2 Our Proposed Methodology for Dialog Management
2.1 Proposed Statistical Methodology
2.2 Proposed Implementation by Means of Specific Dialog Models
3 Practical Application
4 Results of the Evaluation
4.1 Evaluation with a User Simulator
5 Conclusions and Future Work
References
Pentaho + R: An Integral View for Multidimensional Prediction Models
1 Introduction
1.1 Related Work
2 Experimental Setting
2.1 The Task
2.2 Multidimensional Data Description
2.3 Implementation Details
2.4 Experiment 1: Cost-Benefit Analysis Across the Full Multidimensional Lattice
2.5 Experiment 2: Cost-Benefit Analysis for a Single Cube Request
3 Discussion and Conclusions
References
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features
1 Introduction
2 Distributed Feature Selection
3 Materials and Methods
4 Experiments and Analysis
5 Final Remarks
References
Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment
1 Introduction
2 Related Work
3 DWR - A Multi-UAV Simulation Environment
4 Measures of Planning and Monitoring Effectiveness
4.1 Score
4.2 Cooperation
4.3 Aggressiveness
4.4 Initial Plan Complexity (IPC)
5 Experimentation
5.1 Computing the Performance Metrics in a Simulations Dataset
5.2 Applying Clustering Algorithms to Group User Profiles
5.3 Analyzing and Labeling the User Profile Clusters
6 Conclusions and Future Work
References
Metaheuristics and Evolutionary Computation
Learning Levels of Mario AI Using Genetic Algorithms
1 Introduction
2 State of the Art
3 Proposal
3.1 Encoding
3.2 Fitness
3.3 Genetic Operators
4 Evaluation
4.1 1st Stage Experimental Setup
4.2 Sensitivity Analysis of the Parameters
4.3 2nd Stage Experimental Setup
4.4 2nd Stage Results
4.5 Discussion
5 Conclusions and Future Work
References
GRASP Approach to a Min-Max Problem of Ergonomic Risk in Restricted Assembly Lines
Abstract
1 Introduction
2 The TSALBP-R_erg
3 GRASP Algorithm
3.1 Constructive Phase: Greedy Procedure
3.2 Local Improvement Phase
4 Computational Experience
5 Conclusions
Acknowledgments
References
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition
1 Introduction
2 The Quadratic Assignment Problem
3 Elementary Landscape Decomposition of the QAP
4 A Non-Dominated Sorting Genetic Algorithm for the Multi-objectivised QAP
5 Experiments
5.1 Parameter Settings
5.2 Results
5.3 Statistical Analysis
6 Conclusions and Future Work
References
Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models
1 Introduction
2 Hybrid Artificial Neural Networks
3 Proposed Neural Network Model
4 Estimation of the Coefficients
5 Experiments
6 Conclusions
References
On the Applicability of Ant Colony Optimization to Non-Intrusive Load Monitoring in Smart Grids
1 Introduction
2 Solving CSP Problems Using ACO Algorihtms
3 Description of the New Model for CSP Problems
4 Experiments and Discussion
5 Concluding Remarks and Future Research
References
Beyond Unfeasibility: Strategic Oscillation for the Maximum Leaf Spanning Tree Problem
1 Introduction
2 Algorithmic Proposal
2.1 Solution Representation
2.2 Constructive Procedure
2.3 Strategic Oscillation
3 Experimental Results
4 Conclusions
References
An Evolutionary Algorithm to Generate Real Urban Traffic Flows
1 Introduction
2 Related Work
3 Problem Description
4 Case Study
5 Flow Generator Algorithm (FGA)
5.1 Problem Representation
5.2 Evaluation Function
5.3 Operators
6 Competitors for Our FGA
6.1 Random Search (RS)
6.2 Evolutionary Algorithm (EA)
7 Results
8 Conclusions and Future Work
References
Social Robotics
Social Navigation Restrictions for Interactive Robots Using Augmented Reality
1 Introduction
2 Control Architecture
3 Navigation with AR
3.1 Proxemics Strategy
3.2 Occlusion Strategy
4 Implementation and Test Design
5 Conclusions and Further Work
References
Author Index

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